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GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models.

, , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5694-5703. PMLR, (2018)

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Modelling Sparse Dynamical Systems with Compressed Predictive State Representations., , and . ICML (1), volume 28 of JMLR Workshop and Conference Proceedings, page 178-186. JMLR.org, (2013)Generalizable Adversarial Attacks Using Generative Models., , and . CoRR, (2019)Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change, , and . arXiv:1605.09096 cs, (October 2018)arXiv: 1605.09096.Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery., , , , , and . CoRR, (2021)Representation learning methods for computational social science.. Stanford University, USA, (2018)Do Syntax Trees Help Pre-trained Transformers Extract Information?, , , and . EACL, page 2647-2661. Association for Computational Linguistics, (2021)End-to-End Training of Neural Retrievers for Open-Domain Question Answering., , , , , , and . ACL/IJCNLP (1), page 6648-6662. Association for Computational Linguistics, (2021)Latent Variable Modelling with Hyperbolic Normalizing Flows., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 1045-1055. PMLR, (2020)Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora., , , and . EMNLP, page 595-605. The Association for Computational Linguistics, (2016)Adversarial Example Games., , , , , , and . NeurIPS, (2020)